Investigation of Restoration Algorithm for Degraded Images Caused by Aero-optics Effects Using Multi-resolution Blind Deconvolution
Hong Wei Han · Chinese Journal of Computers · 2004
For the restoration of the degraded images caused by aero-optics effects of atmospheric turbulence, this paper presents an effective algorithm of multi-resolution blind deconvolution based on two frames of degraded images, in which the PSFs can be estimated by use of the two degraded images under the condition of the degraded models being unknown. In order to overcome the interference of noise, the constraints of non-negativity and smoothness of the PSFs are converted into the penalty terms expressed in mathematics and an objective function based on anisotropic regularization is built by adding the penalty terms into it. Thus, the PSFs' values can be estimated in an iteration manner by use of the constraint optimal principle, and then the images can be restored by the filter method. Meanwhile, for the requirement of fast restoration, an algorithm based on multi-resolution blind deconvolution is proposed by employing the image multi-resolution technology in the process of optimization estimation of PSFs and restoration. A series of restoration experiments and some comparison analysis have been performed in a microcomputer. The experiments results illustrate that the proposed algorithm is efficient with obvious effects on the aspects of resisting noise and speeding up the restoration.